1月29日，全球顶级科学期刊《自然》杂志刊登了中国科学院物理研究所在量子计算领域的研究成果， 科研团队创新性地采用随机多极驱动(RMD) 技术，通过调节驱动序列的复杂度和节奏，成功实现对预 热化平台持续时间的精准控制。 2019年，谷歌基于53量子比特超导处理器"悬铃木"，在随机量子电路采样任务中，仅以200秒时间完成 当时最强超算需1万年以上的计算量，引发全球对量子计算实现"量子优越性"的空前关注。 然而，量子计算实现通用计算，并超越经典计算机的终极梦想，仍有待学界有效对抗量子退相干，实现 量子纠错，提高量子计算稳定性和存储信息能力的方式来获得，而量子预热化平台是量子系统保持信息 存储的重要技术，也是人们尚未完全理解和控制的复杂系统特殊性质。 此次中科院物理研究所通过设计随机多极驱动协议，在78量子比特"庄子2.0"芯片上首次观测到可调控 的预热化平台，不仅验证了全球量子计算领域近年一系列重要理论成果，还进一步验证了"量子优越 性"的存在，预演了全球量子计算发展可以"沿途下蛋"，不断解决具有科学价值的科研问题，为量子计 算投入获得正向反馈并实现指数级跨越的未来奠定基础。 近日，21世纪经济报道记者采访了论文 ...

Core Insights - The research conducted by the Chinese Academy of Sciences' Institute of Physics has achieved a breakthrough in quantum computing by successfully implementing a controllable preheating platform using Random Multi-Polar Drive (RMD) technology, marking a significant advancement in the field [1][4][5] Group 1: Research Breakthrough - The experiment achieved on a 78-qubit superconducting platform is unprecedented, validating important theoretical results in quantum computing and demonstrating the existence of "quantum supremacy" [1][4] - The research addresses a critical scientific question regarding the existence of a preheating platform in large-scale quantum systems, which classical computers cannot efficiently compute [5][6] Group 2: Quantum Supremacy and Applications - The results indicate that quantum computing can outperform advanced classical computing methods in specific scenarios, reinforcing the concept of quantum supremacy [7][8] - The research provides a potential application for quantum systems in information storage, highlighting the importance of preventing information loss due to thermal effects [9] Group 3: Future of Quantum Computing - The future development of quantum computing is expected to focus on scientific value rather than immediate commercial applications, with advancements anticipated in the next five to ten years [11][12] - Challenges such as precision and scalability remain, with the potential for achieving millions of qubits in about ten years, indicating a transformative potential for quantum computing [13][14]